Hugh J. Earl

2.2k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Hugh J. Earl is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Hugh J. Earl has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 9 papers in Agronomy and Crop Science and 8 papers in Molecular Biology. Recurrent topics in Hugh J. Earl's work include Plant responses to elevated CO2 (9 papers), Plant nutrient uptake and metabolism (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Hugh J. Earl is often cited by papers focused on Plant responses to elevated CO2 (9 papers), Plant nutrient uptake and metabolism (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Hugh J. Earl collaborates with scholars based in Canada, United States and Romania. Hugh J. Earl's co-authors include Richard F. Davis, Said Ennahli, Alireza Navabi, Thomas E. Carter, Manish N. Raizada, Kamal Khadka, H. R. Boerma, John Sulik, Dan Tulpan and Mohsen Yoosefzadeh-Najafabadi and has published in prestigious journals such as Plant and Soil, Frontiers in Plant Science and Field Crops Research.

In The Last Decade

Hugh J. Earl

37 papers receiving 1.6k citations

Hit Papers

Application of Machine Learning Algorithms in Plant Breed... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
    2021 159 citations Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl et al. Frontiers in Plant Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hugh J. Earl Canada 20 1.3k 406 323 230 226 38 1.7k
Katia Stefanova Australia 20 723 0.5× 215 0.5× 104 0.3× 287 1.2× 106 0.5× 50 1.1k
Jianliang Huang China 6 1.7k 1.3× 283 0.7× 165 0.5× 230 1.0× 270 1.2× 8 2.0k
Jana Kholová India 25 1.9k 1.4× 462 1.1× 492 1.5× 237 1.0× 175 0.8× 86 2.2k
A. Alvino Italy 25 1.7k 1.2× 345 0.8× 584 1.8× 490 2.1× 232 1.0× 65 2.2k
Usman Nazir China 7 1.6k 1.2× 261 0.6× 175 0.5× 171 0.7× 283 1.3× 13 1.9k
Nawab Ali United States 10 1.1k 0.9× 194 0.5× 109 0.3× 165 0.7× 188 0.8× 53 1.5k
Y. Emam Iran 24 2.0k 1.5× 558 1.4× 82 0.3× 317 1.4× 158 0.7× 164 2.2k
Amanda P. De Souza Brazil 27 1.5k 1.1× 202 0.5× 294 0.9× 95 0.4× 741 3.3× 48 2.2k
P.E.L. van der Putten Netherlands 27 1.7k 1.3× 802 2.0× 455 1.4× 367 1.6× 280 1.2× 64 2.2k
David D. Baltensperger United States 25 1.5k 1.1× 699 1.7× 84 0.3× 460 2.0× 205 0.9× 132 2.3k

Countries citing papers authored by Hugh J. Earl

Since Specialization
Citations

This map shows the geographic impact of Hugh J. Earl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hugh J. Earl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh J. Earl more than expected).

Fields of papers citing papers by Hugh J. Earl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugh J. Earl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hugh J. Earl. The network helps show where Hugh J. Earl may publish in the future.

Co-authorship network of co-authors of Hugh J. Earl

This figure shows the co-authorship network connecting the top 25 collaborators of Hugh J. Earl. A scholar is included among the top collaborators of Hugh J. Earl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hugh J. Earl. Hugh J. Earl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Earl, Hugh J., et al.. (2023). A novel method for irrigating plants, tracking water use, and imposing water deficits in controlled environments. Frontiers in Plant Science. 14. 1201102–1201102.
2.
Earl, Hugh J., et al.. (2022). Hyperspectral time series datasets of maize during the grain filling period. BMC Research Notes. 15(1). 152–152. 3 indexed citations
3.
4.
Yoosefzadeh-Najafabadi, Mohsen, Hugh J. Earl, Dan Tulpan, John Sulik, & Milad Eskandari. (2021). Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean. Frontiers in Plant Science. 11. 624273–624273. 159 indexed citations breakdown →
5.
Khadka, Kamal, Hugh J. Earl, Manish N. Raizada, & Alireza Navabi. (2020). A Physio-Morphological Trait-Based Approach for Breeding Drought Tolerant Wheat. Frontiers in Plant Science. 11. 715–715. 138 indexed citations
6.
Nasielski, Joshua, Hugh J. Earl, & Bill Deen. (2019). Luxury Vegetative Nitrogen Uptake in Maize Buffers Grain Yield Under Post-silking Water and Nitrogen Stress: A Mechanistic Understanding. Frontiers in Plant Science. 10. 318–318. 41 indexed citations
7.
L., B., Zhiming Zheng, Joann K. Whalen, et al.. (2019). Uptake and nutrient balance of nitrogen, sulfur, and boron for optimal canola production in eastern Canada. Journal of Plant Nutrition and Soil Science. 182(2). 252–264. 20 indexed citations
8.
Nasielski, Joshua, Hugh J. Earl, & Bill Deen. (2019). Which plant traits are most strongly related to post-silking nitrogen uptake in maize under water and/or nitrogen stress?. Journal of Plant Physiology. 244. 153059–153059. 12 indexed citations
9.
Deen, William M., et al.. (2018). Genotypic differences in red clover (Trifolium pratense L.) response under severe water deficit. Plant and Soil. 425(1-2). 401–414. 18 indexed citations
10.
Earl, Hugh J., et al.. (2018). Shared and genetically distinct Zea mays transcriptome responses to ongoing and past low temperature exposure. BMC Genomics. 19(1). 761–761. 21 indexed citations
11.
Pilon, Cristiane, John L. Snider, В. С. Соболев, et al.. (2018). Assessing stomatal and non-stomatal limitations to carbon assimilation under progressive drought in peanut (Arachis hypogaea L.). Journal of Plant Physiology. 231. 124–134. 79 indexed citations
12.
Earl, Hugh J., et al.. (2018). Leaf Spectral Reflectance of Maize Seedlings and Its Relationship to Cold Tolerance. Crop Science. 58(6). 2569–2580. 13 indexed citations
13.
Earl, Hugh J., et al.. (2017). Response to selection for improved nitrogen fixation in common bean (Phaseolus vulgaris L.). Euphytica. 213(4). 25 indexed citations
14.
Earl, Hugh J., et al.. (2013). Effects of Osmo-Hydropriming and Drought Stress on Seed Germination and Seedling Growth of Rye (Secale Montanum). 6(13). 5 indexed citations
15.
Rajcan, Istvan, et al.. (2012). Dark-adapted leaf conductance, but not minimum leaf conductance, predicts water use efficiency of soybean (Glycine max L. Merr.). Canadian Journal of Plant Science. 93(1). 13–22. 9 indexed citations
16.
Fish, D. A. & Hugh J. Earl. (2009). Water‐Use Efficiency Is Negatively Correlated with Leaf Epidermal Conductance in Cotton (Gossypium spp.). Crop Science. 49(4). 1409–1415. 20 indexed citations
17.
Earl, Hugh J., et al.. (2009). Light and Moisture Competition Effects on Biomass of Red Clover Underseeded To Winter Wheat. Agronomy Journal. 101(6). 1511–1521. 35 indexed citations
18.
Earl, Hugh J. & Said Ennahli. (2004). Estimating photosynthetic electron transport via chlorophyll fluorometry without Photosystem II light saturation. Photosynthesis Research. 82(2). 177–186. 44 indexed citations
19.
Ferrell, Jason A., Hugh J. Earl, & William K. Vencill. (2004). Duration of yellow nutsedge (Cyperus esculentus) competitiveness after herbicide treatment. Weed Science. 52(1). 24–27. 16 indexed citations
20.
Earl, Hugh J.. (2002). Stomatal and non-stomatal restrictions to carbon assimilation in soybean (Glycine max) lines differing in water use efficiency. Environmental and Experimental Botany. 48(3). 237–246. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Katia Stefanova Breakdown of academic impact, for papers by Jianliang Huang Breakdown of academic impact, for papers by Jana Kholová Breakdown of academic impact, for papers by A. Alvino Breakdown of academic impact, for papers by Usman Nazir Breakdown of academic impact, for papers by Nawab Ali Breakdown of academic impact, for papers by Y. Emam Breakdown of academic impact, for papers by Amanda P. De Souza Breakdown of academic impact, for papers by P.E.L. van der Putten Breakdown of academic impact, for papers by David D. Baltensperger
Rankless by CCL
2026